• refund

  • Referenced in 54 articles [sw07434]
  • Iterated expectation and variance formulas combine model-based conditional estimates across the distribution of decompositions...
  • ROBPCA

  • Referenced in 68 articles [sw11592]
  • minimum covariance determinant or an S-estimator and is limited to relatively low-dimensional data ... ROBPCA approach, which combines projection pursuit ideas with robust scatter matrix estimation. ROBPCA yields more...
  • gnm

  • Referenced in 24 articles [sw08076]
  • functions are provided for inference on estimable parameter combinations, as well as standard methods...
  • EViews

  • Referenced in 38 articles [sw00254]
  • panel data analysis, time series estimation and forecasting). It combines spreadsheet and relational database technology...
  • Mplus

  • Referenced in 339 articles [sw06511]
  • offers researchers a wide choice of models, estimators, and algorithms in a program that ... categorical (ordinal), unordered categorical (nominal), counts, or combinations of these variable types. In addition, Mplus...
  • Couenne

  • Referenced in 67 articles [sw04347]
  • linear Estimation) and used it for extensive tests on several combinations of BT and branching...
  • PicHunter

  • Referenced in 53 articles [sw14896]
  • user selections contributes to the system’s estimate of the user’s goal image ... model are combined with the selections made during a search to estimate the probability associated...
  • COBRA

  • Referenced in 7 articles [sw14858]
  • strategy. A new method for combining several initial estimators of the regression function is introduced ... linear or convex optimized combination over a collection of basic estimators ... fast. More specifically, the resulting nonparametric/nonlinear combined estimator is shown to perform asymptotically at least ... sense as the best combination of the basic estimators in the collective. A companion...
  • plfit

  • Referenced in 224 articles [sw23186]
  • least-squares fitting, can produce substantially inaccurate estimates of parameters for power-law distributions ... behavior in empirical data. Our approach combines maximum-likelihood fitting methods with goodness...
  • mvis

  • Referenced in 10 articles [sw37353]
  • models to a multiply imputed dataset, combining the estimates using Rubin’s rules, and supports...
  • boost

  • Referenced in 38 articles [sw35655]
  • perform feature selection and provide class probability estimates that serve as a quantification ... uncertainty. A very promising solution is to combine the two ensemble schemes bagging and boosting ... improves the predictive performance and the probability estimates of both bagging and boosting on real...
  • haarfisz

  • Referenced in 17 articles [sw11198]
  • method combines Haar wavelets and the variance stabilizing Fisz transform. The resulting estimator is mean...
  • hgam

  • Referenced in 73 articles [sw11201]
  • high-dimensional generalized additive models. The combination of sparsity and smoothness is crucial for mathematical ... results which yield asymptotic optimality of our estimator for high dimensional but sparse additive models...
  • GrabCut

  • Referenced in 109 articles [sw15842]
  • graph-cut has been developed which successfully combines both types of information. In this paper ... border matting” has been developed to estimate simultaneously the alpha-matte around an object boundary...
  • Mixmod

  • Referenced in 36 articles [sw06991]
  • analysis. A large variety of algorithms to estimate the mixture parameters are proposed (EM, Classification ... Stochastic EM), and it is possible to combine these to yield different strategies for obtaining...
  • MAMI

  • Referenced in 7 articles [sw32127]
  • multiply imputed datasets and combines the resulting estimates. The package also provides access to less...
  • PFNRN

  • Referenced in 11 articles [sw05174]
  • algorithm that combines first- and superlinear-order estimators of the multipliers of the side constraints...
  • ITE

  • Referenced in 5 articles [sw12811]
  • platform, Matlab/Octave toolbox that is capable of estimating many different variants of entropy, mutual information ... supports additionally (i) the combinations of the estimation techniques, (ii) the easy construction and embedding...
  • QV Calculator

  • Referenced in 2 articles [sw26360]
  • does not give the precision of estimated combinations of the parameters, such as differences ... categorical classifying variable, the identifiable parameter combinations are linear contrasts. The QV Calculator computes ”quasi ... alternative summary of the precision of the estimated parameters. The summary based on quasi-variances...
  • ALADINS

  • Referenced in 10 articles [sw09563]
  • posteriori error estimator. Typical strategies are based on the combination of the solutions computed either ... order guesses. The difference between the two estimates provide a natural a posteriori estimator. After...